Overview

Dataset statistics

Number of variables17
Number of observations139
Missing cells488
Missing cells (%)20.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory136.9 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

airdate has constant value ""Constant
id_embedded is highly overall correlated with seasonHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
type is highly imbalanced (81.1%)Imbalance
number has 6 (4.3%) missing valuesMissing
airtime has 102 (73.4%) missing valuesMissing
runtime has 7 (5.0%) missing valuesMissing
rating_average has 139 (100.0%) missing valuesMissing
medium has 81 (58.3%) missing valuesMissing
original has 81 (58.3%) missing valuesMissing
summary has 72 (51.8%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:14:17.563272
Analysis finished2023-08-05 19:14:21.441438
Duration3.88 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2445019
Minimum2286562
Maximum2603384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:21.528811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2286562
5-th percentile2400701.3
Q12432886.5
median2444838
Q32454751.5
95-th percentile2512557.8
Maximum2603384
Range316822
Interquartile range (IQR)21865

Descriptive statistics

Standard deviation36649.693
Coefficient of variation (CV)0.014989533
Kurtosis5.3108063
Mean2445019
Median Absolute Deviation (MAD)11948
Skewness0.6146596
Sum3.3985764 × 108
Variance1.3432 × 109
MonotonicityNot monotonic
2023-08-05T14:14:21.703303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2417447 1
 
0.7%
2447324 1
 
0.7%
2440063 1
 
0.7%
2440064 1
 
0.7%
2440065 1
 
0.7%
2440066 1
 
0.7%
2440067 1
 
0.7%
2447323 1
 
0.7%
2456656 1
 
0.7%
2577829 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
2286562 1
0.7%
2367121 1
0.7%
2375419 1
0.7%
2380955 1
0.7%
2387351 1
0.7%
2393543 1
0.7%
2396834 1
0.7%
2401131 1
0.7%
2404243 1
0.7%
2409569 1
0.7%
ValueCountFrequency (%)
2603384 1
0.7%
2577829 1
0.7%
2537085 1
0.7%
2530434 1
0.7%
2517994 1
0.7%
2517993 1
0.7%
2517992 1
0.7%
2511954 1
0.7%
2511953 1
0.7%
2503116 1
0.7%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57048.806
Minimum2266
Maximum68448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:21.866097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2266
5-th percentile19312.4
Q154254.5
median63559
Q365478
95-th percentile67453.6
Maximum68448
Range66182
Interquartile range (IQR)11223.5

Descriptive statistics

Standard deviation14528.443
Coefficient of variation (CV)0.25466692
Kurtosis4.8803571
Mean57048.806
Median Absolute Deviation (MAD)2871
Skewness-2.2888852
Sum7929784
Variance2.1107567 × 108
MonotonicityNot monotonic
2023-08-05T14:14:22.026179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64592 10
 
7.2%
57990 8
 
5.8%
63559 8
 
5.8%
53878 8
 
5.8%
65478 6
 
4.3%
65621 4
 
2.9%
66153 4
 
2.9%
67883 3
 
2.2%
65455 3
 
2.2%
59587 2
 
1.4%
Other values (74) 83
59.7%
ValueCountFrequency (%)
2266 1
0.7%
4175 1
0.7%
4962 1
0.7%
6146 1
0.7%
13381 1
0.7%
13392 1
0.7%
17633 1
0.7%
19499 1
0.7%
23972 1
0.7%
24221 1
0.7%
ValueCountFrequency (%)
68448 1
 
0.7%
68144 1
 
0.7%
67883 3
2.2%
67684 2
1.4%
67428 1
 
0.7%
67120 2
1.4%
67089 1
 
0.7%
66819 1
 
0.7%
66222 1
 
0.7%
66153 4
2.9%

url
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:22.284430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length102
Mean length82.769784
Min length57

Characters and Unicode

Total characters11505
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2417447/vampiry-srednej-polosy-2x01-seria-1
2nd rowhttps://www.tvmaze.com/episodes/2422257/trudnye-podrostki-realnost-2x17-seria-17
3rd rowhttps://www.tvmaze.com/episodes/2438120/restoran-po-ponatiam-2x11-seria-21
4th rowhttps://www.tvmaze.com/episodes/2438121/restoran-po-ponatiam-2x12-seria-22
5th rowhttps://www.tvmaze.com/episodes/2420519/aksentev-1x08-seria-8
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2417447/vampiry-srednej-polosy-2x01-seria-1 1
 
0.7%
https://www.tvmaze.com/episodes/2404243/zhu-xian-1x21-episode-21 1
 
0.7%
https://www.tvmaze.com/episodes/2436078/ling-jian-zun-5x140-episode-340 1
 
0.7%
https://www.tvmaze.com/episodes/2458405/drawing-jianghu-the-degenerate-1x12-episode-12 1
 
0.7%
https://www.tvmaze.com/episodes/2458404/drawing-jianghu-the-degenerate-1x11-episode-11 1
 
0.7%
https://www.tvmaze.com/episodes/2434078/eden-descendants-of-instinct-2x05-episode-5 1
 
0.7%
https://www.tvmaze.com/episodes/2450414/leveling-up-in-a-fantasy-world-1x13-episode-13 1
 
0.7%
https://www.tvmaze.com/episodes/2409569/forty-millenniums-of-cultivation-1x12-episode-12 1
 
0.7%
https://www.tvmaze.com/episodes/2447401/wo-kao-chongzhi-dang-wudi-1x55-no55 1
 
0.7%
https://www.tvmaze.com/episodes/2393543/its-like-a-bean-in-a-pod-1x51-episode-51 1
 
0.7%
Other values (129) 129
92.8%
2023-08-05T14:14:22.751184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1003
 
8.7%
- 936
 
8.1%
t 698
 
6.1%
/ 695
 
6.0%
s 693
 
6.0%
a 558
 
4.9%
o 545
 
4.7%
w 482
 
4.2%
i 437
 
3.8%
p 392
 
3.4%
Other values (30) 5066
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7911
68.8%
Decimal Number 1546
 
13.4%
Other Punctuation 1112
 
9.7%
Dash Punctuation 936
 
8.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1003
12.7%
t 698
 
8.8%
s 693
 
8.8%
a 558
 
7.1%
o 545
 
6.9%
w 482
 
6.1%
i 437
 
5.5%
p 392
 
5.0%
m 388
 
4.9%
d 337
 
4.3%
Other values (16) 2378
30.1%
Decimal Number
ValueCountFrequency (%)
2 296
19.1%
4 276
17.9%
1 259
16.8%
0 173
11.2%
3 116
 
7.5%
5 96
 
6.2%
8 94
 
6.1%
7 85
 
5.5%
9 83
 
5.4%
6 68
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 695
62.5%
. 278
 
25.0%
: 139
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 936
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7911
68.8%
Common 3594
31.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1003
12.7%
t 698
 
8.8%
s 693
 
8.8%
a 558
 
7.1%
o 545
 
6.9%
w 482
 
6.1%
i 437
 
5.5%
p 392
 
5.0%
m 388
 
4.9%
d 337
 
4.3%
Other values (16) 2378
30.1%
Common
ValueCountFrequency (%)
- 936
26.0%
/ 695
19.3%
2 296
 
8.2%
. 278
 
7.7%
4 276
 
7.7%
1 259
 
7.2%
0 173
 
4.8%
: 139
 
3.9%
3 116
 
3.2%
5 96
 
2.7%
Other values (4) 330
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1003
 
8.7%
- 936
 
8.1%
t 698
 
6.1%
/ 695
 
6.0%
s 693
 
6.0%
a 558
 
4.9%
o 545
 
4.7%
w 482
 
4.2%
i 437
 
3.8%
p 392
 
3.4%
Other values (30) 5066
44.0%

name
Text

Distinct125
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:23.132872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length46
Mean length16.597122
Min length3

Characters and Unicode

Total characters2307
Distinct characters130
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)84.2%

Sample

1st rowСерия 1
2nd rowСерия 17
3rd rowСерия 21
4th rowСерия 22
5th rowСерия 8
ValueCountFrequency (%)
episode 40
 
8.8%
the 24
 
5.3%
a 7
 
1.5%
in 7
 
1.5%
to 6
 
1.3%
6
 
1.3%
серия 6
 
1.3%
12 5
 
1.1%
we 5
 
1.1%
5 4
 
0.9%
Other values (294) 346
75.9%
2023-08-05T14:14:23.691033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
13.7%
e 202
 
8.8%
o 140
 
6.1%
i 112
 
4.9%
a 103
 
4.5%
s 97
 
4.2%
n 91
 
3.9%
t 88
 
3.8%
r 81
 
3.5%
d 68
 
2.9%
Other values (120) 1008
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1463
63.4%
Uppercase Letter 369
 
16.0%
Space Separator 317
 
13.7%
Decimal Number 109
 
4.7%
Other Punctuation 41
 
1.8%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 202
13.8%
o 140
 
9.6%
i 112
 
7.7%
a 103
 
7.0%
s 97
 
6.6%
n 91
 
6.2%
t 88
 
6.0%
r 81
 
5.5%
d 68
 
4.6%
h 57
 
3.9%
Other values (50) 424
29.0%
Uppercase Letter
ValueCountFrequency (%)
E 51
 
13.8%
T 30
 
8.1%
W 26
 
7.0%
A 20
 
5.4%
C 18
 
4.9%
S 18
 
4.9%
M 17
 
4.6%
G 15
 
4.1%
H 14
 
3.8%
F 14
 
3.8%
Other values (34) 146
39.6%
Decimal Number
ValueCountFrequency (%)
1 32
29.4%
2 20
18.3%
3 10
 
9.2%
4 10
 
9.2%
5 9
 
8.3%
0 8
 
7.3%
8 7
 
6.4%
9 6
 
5.5%
7 5
 
4.6%
6 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 9
22.0%
, 7
17.1%
' 7
17.1%
! 4
9.8%
: 3
 
7.3%
? 3
 
7.3%
# 3
 
7.3%
& 3
 
7.3%
/ 1
 
2.4%
1
 
2.4%
Space Separator
ValueCountFrequency (%)
317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1641
71.1%
Common 475
 
20.6%
Cyrillic 191
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 202
 
12.3%
o 140
 
8.5%
i 112
 
6.8%
a 103
 
6.3%
s 97
 
5.9%
n 91
 
5.5%
t 88
 
5.4%
r 81
 
4.9%
d 68
 
4.1%
h 57
 
3.5%
Other values (43) 602
36.7%
Cyrillic
ValueCountFrequency (%)
и 16
 
8.4%
е 16
 
8.4%
я 11
 
5.8%
р 10
 
5.2%
а 9
 
4.7%
о 8
 
4.2%
н 7
 
3.7%
С 7
 
3.7%
к 7
 
3.7%
т 6
 
3.1%
Other values (41) 94
49.2%
Common
ValueCountFrequency (%)
317
66.7%
1 32
 
6.7%
2 20
 
4.2%
3 10
 
2.1%
4 10
 
2.1%
5 9
 
1.9%
. 9
 
1.9%
0 8
 
1.7%
8 7
 
1.5%
, 7
 
1.5%
Other values (16) 46
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2109
91.4%
Cyrillic 191
 
8.3%
None 4
 
0.2%
Punctuation 2
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
 
15.0%
e 202
 
9.6%
o 140
 
6.6%
i 112
 
5.3%
a 103
 
4.9%
s 97
 
4.6%
n 91
 
4.3%
t 88
 
4.2%
r 81
 
3.8%
d 68
 
3.2%
Other values (63) 810
38.4%
Cyrillic
ValueCountFrequency (%)
и 16
 
8.4%
е 16
 
8.4%
я 11
 
5.8%
р 10
 
5.2%
а 9
 
4.7%
о 8
 
4.2%
н 7
 
3.7%
С 7
 
3.7%
к 7
 
3.7%
т 6
 
3.1%
Other values (41) 94
49.2%
None
ValueCountFrequency (%)
ú 2
50.0%
ö 1
25.0%
ó 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.107914
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:23.847531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile29.8
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation411.84899
Coefficient of variation (CV)4.5706195
Kurtosis18.92115
Mean90.107914
Median Absolute Deviation (MAD)0
Skewness4.5436691
Sum12525
Variance169619.59
MonotonicityNot monotonic
2023-08-05T14:14:23.988807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 89
64.0%
2 18
 
12.9%
2022 6
 
4.3%
4 5
 
3.6%
5 4
 
2.9%
13 2
 
1.4%
8 2
 
1.4%
10 2
 
1.4%
3 2
 
1.4%
9 2
 
1.4%
Other values (7) 7
 
5.0%
ValueCountFrequency (%)
1 89
64.0%
2 18
 
12.9%
3 2
 
1.4%
4 5
 
3.6%
5 4
 
2.9%
6 1
 
0.7%
7 1
 
0.7%
8 2
 
1.4%
9 2
 
1.4%
10 2
 
1.4%
ValueCountFrequency (%)
2022 6
4.3%
46 1
 
0.7%
28 1
 
0.7%
22 1
 
0.7%
17 1
 
0.7%
16 1
 
0.7%
13 2
 
1.4%
10 2
 
1.4%
9 2
 
1.4%
8 2
 
1.4%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct40
Distinct (%)30.1%
Missing6
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean22.827068
Minimum1
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:24.269138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q314
95-th percentile109
Maximum290
Range289
Interquartile range (IQR)10

Descriptive statistics

Standard deviation47.682744
Coefficient of variation (CV)2.0888686
Kurtosis16.635352
Mean22.827068
Median Absolute Deviation (MAD)5
Skewness3.9694012
Sum3036
Variance2273.6441
MonotonicityNot monotonic
2023-08-05T14:14:24.424541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2 11
 
7.9%
5 11
 
7.9%
3 11
 
7.9%
4 11
 
7.9%
1 9
 
6.5%
8 9
 
6.5%
6 7
 
5.0%
12 7
 
5.0%
11 5
 
3.6%
50 5
 
3.6%
Other values (30) 47
33.8%
(Missing) 6
 
4.3%
ValueCountFrequency (%)
1 9
6.5%
2 11
7.9%
3 11
7.9%
4 11
7.9%
5 11
7.9%
6 7
5.0%
7 5
3.6%
8 9
6.5%
9 3
 
2.2%
10 3
 
2.2%
ValueCountFrequency (%)
290 1
0.7%
248 1
0.7%
245 1
0.7%
241 1
0.7%
140 1
0.7%
130 1
0.7%
124 1
0.7%
99 1
0.7%
67 1
0.7%
62 1
0.7%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
regular
133 
significant_special
 
3
insignificant_special
 
3

Length

Max length21
Median length7
Mean length7.5611511
Min length7

Characters and Unicode

Total characters1051
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 133
95.7%
significant_special 3
 
2.2%
insignificant_special 3
 
2.2%

Length

2023-08-05T14:14:24.578880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:14:24.699117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 133
95.7%
significant_special 3
 
2.2%
insignificant_special 3
 
2.2%

Most occurring characters

ValueCountFrequency (%)
r 266
25.3%
a 145
13.8%
e 139
13.2%
g 139
13.2%
l 139
13.2%
u 133
12.7%
i 27
 
2.6%
n 15
 
1.4%
s 12
 
1.1%
c 12
 
1.1%
Other values (4) 24
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1045
99.4%
Connector Punctuation 6
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 266
25.5%
a 145
13.9%
e 139
13.3%
g 139
13.3%
l 139
13.3%
u 133
12.7%
i 27
 
2.6%
n 15
 
1.4%
s 12
 
1.1%
c 12
 
1.1%
Other values (3) 18
 
1.7%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1045
99.4%
Common 6
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 266
25.5%
a 145
13.9%
e 139
13.3%
g 139
13.3%
l 139
13.3%
u 133
12.7%
i 27
 
2.6%
n 15
 
1.4%
s 12
 
1.1%
c 12
 
1.1%
Other values (3) 18
 
1.7%
Common
ValueCountFrequency (%)
_ 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 266
25.3%
a 145
13.8%
e 139
13.2%
g 139
13.2%
l 139
13.2%
u 133
12.7%
i 27
 
2.6%
n 15
 
1.4%
s 12
 
1.1%
c 12
 
1.1%
Other values (4) 24
 
2.3%

airdate
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-12-13 00:00:00
Maximum2022-12-13 00:00:00
2023-08-05T14:14:24.802725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:24.909595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

airtime
Date

MISSING 

Distinct17
Distinct (%)45.9%
Missing102
Missing (%)73.4%
Memory size1.2 KiB
Minimum2023-08-05 00:00:00
Maximum2023-08-05 22:35:00
2023-08-05T14:14:25.021998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:25.160192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
Distinct24
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-12-13 00:00:00+00:00
Maximum2022-12-14 02:00:00+00:00
2023-08-05T14:14:25.300617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:25.434789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

runtime
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)43.9%
Missing7
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean38.30303
Minimum2
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:25.576123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.55
Q115
median39
Q356
95-th percentile79.95
Maximum165
Range163
Interquartile range (IQR)41

Descriptive statistics

Standard deviation26.866347
Coefficient of variation (CV)0.70141571
Kurtosis3.5945882
Mean38.30303
Median Absolute Deviation (MAD)20
Skewness1.3010895
Sum5056
Variance721.8006
MonotonicityNot monotonic
2023-08-05T14:14:25.744231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 11
 
7.9%
45 10
 
7.2%
10 8
 
5.8%
22 8
 
5.8%
6 4
 
2.9%
12 4
 
2.9%
40 4
 
2.9%
56 4
 
2.9%
15 4
 
2.9%
2 3
 
2.2%
Other values (48) 72
51.8%
(Missing) 7
 
5.0%
ValueCountFrequency (%)
2 3
 
2.2%
4 2
 
1.4%
5 2
 
1.4%
6 4
2.9%
7 1
 
0.7%
8 1
 
0.7%
9 2
 
1.4%
10 8
5.8%
12 4
2.9%
13 2
 
1.4%
ValueCountFrequency (%)
165 1
0.7%
126 1
0.7%
120 1
0.7%
101 1
0.7%
90 2
1.4%
86 1
0.7%
75 1
0.7%
68 1
0.7%
66 1
0.7%
65 1
0.7%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.2 KiB

medium
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing81
Missing (%)58.3%
Memory size1.2 KiB
2023-08-05T14:14:26.005413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters4234
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087037.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087070.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087068.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/463/1158433.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087410.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/435/1089493.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087155.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087129.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087070.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087068.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/463/1158433.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087410.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087148.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087149.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087150.jpg 1
 
1.7%
Other values (48) 48
82.8%
2023-08-05T14:14:26.408576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 406
 
9.6%
a 348
 
8.2%
m 290
 
6.8%
s 290
 
6.8%
t 290
 
6.8%
p 232
 
5.5%
e 232
 
5.5%
. 174
 
4.1%
d 174
 
4.1%
c 174
 
4.1%
Other values (22) 1624
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2958
69.9%
Other Punctuation 638
 
15.1%
Decimal Number 580
 
13.7%
Connector Punctuation 58
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 348
11.8%
m 290
9.8%
s 290
9.8%
t 290
9.8%
p 232
 
7.8%
e 232
 
7.8%
d 174
 
5.9%
c 174
 
5.9%
i 174
 
5.9%
g 116
 
3.9%
Other values (8) 638
21.6%
Decimal Number
ValueCountFrequency (%)
4 124
21.4%
1 108
18.6%
0 86
14.8%
8 61
10.5%
3 61
10.5%
7 51
8.8%
5 34
 
5.9%
9 22
 
3.8%
2 20
 
3.4%
6 13
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 406
63.6%
. 174
27.3%
: 58
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2958
69.9%
Common 1276
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 348
11.8%
m 290
9.8%
s 290
9.8%
t 290
9.8%
p 232
 
7.8%
e 232
 
7.8%
d 174
 
5.9%
c 174
 
5.9%
i 174
 
5.9%
g 116
 
3.9%
Other values (8) 638
21.6%
Common
ValueCountFrequency (%)
/ 406
31.8%
. 174
13.6%
4 124
 
9.7%
1 108
 
8.5%
0 86
 
6.7%
8 61
 
4.8%
3 61
 
4.8%
_ 58
 
4.5%
: 58
 
4.5%
7 51
 
4.0%
Other values (4) 89
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 406
 
9.6%
a 348
 
8.2%
m 290
 
6.8%
s 290
 
6.8%
t 290
 
6.8%
p 232
 
5.5%
e 232
 
5.5%
. 174
 
4.1%
d 174
 
4.1%
c 174
 
4.1%
Other values (22) 1624
38.4%

original
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing81
Missing (%)58.3%
Memory size1.2 KiB
2023-08-05T14:14:26.674290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters4350
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1087037.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1087070.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1087068.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/463/1158433.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1087410.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/435/1089493.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087155.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087129.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087070.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087068.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/463/1158433.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087410.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087148.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087149.jpg 1
 
1.7%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087150.jpg 1
 
1.7%
Other values (48) 48
82.8%
2023-08-05T14:14:27.072477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 406
 
9.3%
t 348
 
8.0%
a 290
 
6.7%
s 232
 
5.3%
o 232
 
5.3%
i 232
 
5.3%
m 174
 
4.0%
u 174
 
4.0%
e 174
 
4.0%
g 174
 
4.0%
Other values (23) 1914
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3074
70.7%
Other Punctuation 638
 
14.7%
Decimal Number 580
 
13.3%
Connector Punctuation 58
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 348
 
11.3%
a 290
 
9.4%
s 232
 
7.5%
o 232
 
7.5%
i 232
 
7.5%
m 174
 
5.7%
u 174
 
5.7%
e 174
 
5.7%
g 174
 
5.7%
c 174
 
5.7%
Other values (9) 870
28.3%
Decimal Number
ValueCountFrequency (%)
4 124
21.4%
1 108
18.6%
0 86
14.8%
3 61
10.5%
8 61
10.5%
7 51
8.8%
5 34
 
5.9%
9 22
 
3.8%
2 20
 
3.4%
6 13
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 406
63.6%
. 174
27.3%
: 58
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3074
70.7%
Common 1276
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 348
 
11.3%
a 290
 
9.4%
s 232
 
7.5%
o 232
 
7.5%
i 232
 
7.5%
m 174
 
5.7%
u 174
 
5.7%
e 174
 
5.7%
g 174
 
5.7%
c 174
 
5.7%
Other values (9) 870
28.3%
Common
ValueCountFrequency (%)
/ 406
31.8%
. 174
13.6%
4 124
 
9.7%
1 108
 
8.5%
0 86
 
6.7%
3 61
 
4.8%
8 61
 
4.8%
_ 58
 
4.5%
: 58
 
4.5%
7 51
 
4.0%
Other values (4) 89
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 406
 
9.3%
t 348
 
8.0%
a 290
 
6.7%
s 232
 
5.3%
o 232
 
5.3%
i 232
 
5.3%
m 174
 
4.0%
u 174
 
4.0%
e 174
 
4.0%
g 174
 
4.0%
Other values (23) 1914
44.0%

_links_self
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:27.306986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5421
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2417447
2nd rowhttps://api.tvmaze.com/episodes/2422257
3rd rowhttps://api.tvmaze.com/episodes/2438120
4th rowhttps://api.tvmaze.com/episodes/2438121
5th rowhttps://api.tvmaze.com/episodes/2420519
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2417447 1
 
0.7%
https://api.tvmaze.com/episodes/2404243 1
 
0.7%
https://api.tvmaze.com/episodes/2436078 1
 
0.7%
https://api.tvmaze.com/episodes/2458405 1
 
0.7%
https://api.tvmaze.com/episodes/2458404 1
 
0.7%
https://api.tvmaze.com/episodes/2434078 1
 
0.7%
https://api.tvmaze.com/episodes/2450414 1
 
0.7%
https://api.tvmaze.com/episodes/2409569 1
 
0.7%
https://api.tvmaze.com/episodes/2447401 1
 
0.7%
https://api.tvmaze.com/episodes/2393543 1
 
0.7%
Other values (129) 129
92.8%
2023-08-05T14:14:27.679722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 556
 
10.3%
p 417
 
7.7%
s 417
 
7.7%
e 417
 
7.7%
t 417
 
7.7%
o 278
 
5.1%
a 278
 
5.1%
i 278
 
5.1%
. 278
 
5.1%
m 278
 
5.1%
Other values (16) 1807
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3475
64.1%
Other Punctuation 973
 
17.9%
Decimal Number 973
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 417
12.0%
s 417
12.0%
e 417
12.0%
t 417
12.0%
o 278
8.0%
a 278
8.0%
i 278
8.0%
m 278
8.0%
h 139
 
4.0%
d 139
 
4.0%
Other values (3) 417
12.0%
Decimal Number
ValueCountFrequency (%)
4 237
24.4%
2 197
20.2%
3 75
 
7.7%
1 72
 
7.4%
8 72
 
7.4%
7 71
 
7.3%
9 71
 
7.3%
5 65
 
6.7%
0 62
 
6.4%
6 51
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 556
57.1%
. 278
28.6%
: 139
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3475
64.1%
Common 1946
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 556
28.6%
. 278
14.3%
4 237
12.2%
2 197
 
10.1%
: 139
 
7.1%
3 75
 
3.9%
1 72
 
3.7%
8 72
 
3.7%
7 71
 
3.6%
9 71
 
3.6%
Other values (3) 178
 
9.1%
Latin
ValueCountFrequency (%)
p 417
12.0%
s 417
12.0%
e 417
12.0%
t 417
12.0%
o 278
8.0%
a 278
8.0%
i 278
8.0%
m 278
8.0%
h 139
 
4.0%
d 139
 
4.0%
Other values (3) 417
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 556
 
10.3%
p 417
 
7.7%
s 417
 
7.7%
e 417
 
7.7%
t 417
 
7.7%
o 278
 
5.1%
a 278
 
5.1%
i 278
 
5.1%
. 278
 
5.1%
m 278
 
5.1%
Other values (16) 1807
33.3%
Distinct84
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:14:27.935030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.971223
Min length33

Characters and Unicode

Total characters4722
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)46.8%

Sample

1st rowhttps://api.tvmaze.com/shows/46433
2nd rowhttps://api.tvmaze.com/shows/59071
3rd rowhttps://api.tvmaze.com/shows/59201
4th rowhttps://api.tvmaze.com/shows/59201
5th rowhttps://api.tvmaze.com/shows/64809
ValueCountFrequency (%)
https://api.tvmaze.com/shows/64592 10
 
7.2%
https://api.tvmaze.com/shows/63559 8
 
5.8%
https://api.tvmaze.com/shows/53878 8
 
5.8%
https://api.tvmaze.com/shows/57990 8
 
5.8%
https://api.tvmaze.com/shows/65478 6
 
4.3%
https://api.tvmaze.com/shows/65621 4
 
2.9%
https://api.tvmaze.com/shows/66153 4
 
2.9%
https://api.tvmaze.com/shows/67883 3
 
2.2%
https://api.tvmaze.com/shows/65455 3
 
2.2%
https://api.tvmaze.com/shows/66103 2
 
1.4%
Other values (74) 83
59.7%
2023-08-05T14:14:28.344250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 556
 
11.8%
s 417
 
8.8%
t 417
 
8.8%
h 278
 
5.9%
p 278
 
5.9%
a 278
 
5.9%
o 278
 
5.9%
. 278
 
5.9%
m 278
 
5.9%
e 139
 
2.9%
Other values (16) 1525
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3058
64.8%
Other Punctuation 973
 
20.6%
Decimal Number 691
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 417
13.6%
t 417
13.6%
h 278
9.1%
p 278
9.1%
a 278
9.1%
o 278
9.1%
m 278
9.1%
e 139
 
4.5%
w 139
 
4.5%
c 139
 
4.5%
Other values (3) 417
13.6%
Decimal Number
ValueCountFrequency (%)
6 129
18.7%
5 107
15.5%
9 75
10.9%
4 69
10.0%
7 62
9.0%
8 60
8.7%
3 55
8.0%
1 49
 
7.1%
2 48
 
6.9%
0 37
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 556
57.1%
. 278
28.6%
: 139
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3058
64.8%
Common 1664
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 556
33.4%
. 278
16.7%
: 139
 
8.4%
6 129
 
7.8%
5 107
 
6.4%
9 75
 
4.5%
4 69
 
4.1%
7 62
 
3.7%
8 60
 
3.6%
3 55
 
3.3%
Other values (3) 134
 
8.1%
Latin
ValueCountFrequency (%)
s 417
13.6%
t 417
13.6%
h 278
9.1%
p 278
9.1%
a 278
9.1%
o 278
9.1%
m 278
9.1%
e 139
 
4.5%
w 139
 
4.5%
c 139
 
4.5%
Other values (3) 417
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 556
 
11.8%
s 417
 
8.8%
t 417
 
8.8%
h 278
 
5.9%
p 278
 
5.9%
a 278
 
5.9%
o 278
 
5.9%
. 278
 
5.9%
m 278
 
5.9%
e 139
 
2.9%
Other values (16) 1525
32.3%

summary
Text

MISSING 

Distinct67
Distinct (%)100.0%
Missing72
Missing (%)51.8%
Memory size1.2 KiB
2023-08-05T14:14:28.667942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length695
Median length222
Mean length230.58209
Min length81

Characters and Unicode

Total characters15449
Distinct characters77
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row<p>Baking enthusiast Ida Gran-Jansen is the judge when the participants bake Lussekatter. Blindly of course.</p>
2nd row<p>The Challengers battle it out for their share of $200,000 and the title of Challenge Champion. Who will have the strength, stamina, and smarts to survive the grueling Final and take home the crown?</p>
3rd row<p>Marjorie Taylor Greene says she would've organized a more successful coup, Kevin McCarthy still cant find 218 votes for speaker, and Sen. Kyrsten Sinema leaves the Democratic Party. Then, Sen. Brian Schatz stops by to talk about democracy, the debt ceiling, Twitter, and Hanukkah.</p>
4th row<p>The practice of exchanging particularly important prisoners dates back many hundreds of years and has survived to the present. More recently, American basketball player Brittney Griner, who was convicted of drug smuggling in Russia, was changed to businessman Viktor Bout — in the West he is called a "gun baron"</p><p>How are such exchanges conceived and who approves them? How do the stories of the exchange participants end?</p><p>We discussed this with an unexpected expert — Francis Gary Powers, the son of one of the most famous prisoners exchanged by the Soviet Union during the Cold War. See in the new issue of "Editorial. Context".</p>
5th row<p>Dennis Hauger, the Norwegian F1 hopeful, entered Formula 2 as the reigning F3 champion, but the season hasn't begun as he'd hoped. Dennis reflects on his journey to where he is now and hopes to end the year strong.</p>
ValueCountFrequency (%)
the 177
 
6.8%
to 89
 
3.4%
of 88
 
3.4%
and 88
 
3.4%
a 70
 
2.7%
in 58
 
2.2%
with 27
 
1.0%
on 24
 
0.9%
for 24
 
0.9%
city 23
 
0.9%
Other values (1156) 1929
74.3%
2023-08-05T14:14:29.175083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2530
16.4%
e 1364
 
8.8%
t 1078
 
7.0%
a 963
 
6.2%
o 870
 
5.6%
i 851
 
5.5%
s 812
 
5.3%
n 809
 
5.2%
r 701
 
4.5%
h 643
 
4.2%
Other values (67) 4828
31.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11577
74.9%
Space Separator 2530
 
16.4%
Uppercase Letter 493
 
3.2%
Other Punctuation 426
 
2.8%
Math Symbol 296
 
1.9%
Decimal Number 74
 
0.5%
Dash Punctuation 42
 
0.3%
Currency Symbol 9
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1364
11.8%
t 1078
 
9.3%
a 963
 
8.3%
o 870
 
7.5%
i 851
 
7.4%
s 812
 
7.0%
n 809
 
7.0%
r 701
 
6.1%
h 643
 
5.6%
l 445
 
3.8%
Other values (16) 3041
26.3%
Uppercase Letter
ValueCountFrequency (%)
S 57
 
11.6%
T 49
 
9.9%
D 41
 
8.3%
C 41
 
8.3%
A 35
 
7.1%
M 33
 
6.7%
G 25
 
5.1%
H 24
 
4.9%
B 23
 
4.7%
L 18
 
3.7%
Other values (15) 147
29.8%
Other Punctuation
ValueCountFrequency (%)
, 137
32.2%
. 125
29.3%
/ 74
17.4%
' 40
 
9.4%
; 15
 
3.5%
" 14
 
3.3%
: 9
 
2.1%
? 6
 
1.4%
! 5
 
1.2%
# 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 40
54.1%
2 10
 
13.5%
5 9
 
12.2%
1 5
 
6.8%
3 3
 
4.1%
8 3
 
4.1%
4 2
 
2.7%
9 2
 
2.7%
Math Symbol
ValueCountFrequency (%)
> 148
50.0%
< 148
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
85.7%
6
 
14.3%
Space Separator
ValueCountFrequency (%)
2530
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12070
78.1%
Common 3379
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1364
 
11.3%
t 1078
 
8.9%
a 963
 
8.0%
o 870
 
7.2%
i 851
 
7.1%
s 812
 
6.7%
n 809
 
6.7%
r 701
 
5.8%
h 643
 
5.3%
l 445
 
3.7%
Other values (41) 3534
29.3%
Common
ValueCountFrequency (%)
2530
74.9%
> 148
 
4.4%
< 148
 
4.4%
, 137
 
4.1%
. 125
 
3.7%
/ 74
 
2.2%
' 40
 
1.2%
0 40
 
1.2%
- 36
 
1.1%
; 15
 
0.4%
Other values (16) 86
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15443
> 99.9%
Punctuation 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2530
16.4%
e 1364
 
8.8%
t 1078
 
7.0%
a 963
 
6.2%
o 870
 
5.6%
i 851
 
5.5%
s 812
 
5.3%
n 809
 
5.2%
r 701
 
4.5%
h 643
 
4.2%
Other values (66) 4822
31.2%
Punctuation
ValueCountFrequency (%)
6
100.0%

Interactions

2023-08-05T14:14:20.269398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.035678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.556901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.101675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.772584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:20.373867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.138717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.673098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.207618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.863516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:20.481633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.244198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.780168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.315645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.966047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:20.604995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.352398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.888115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.422984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:20.068238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:20.719208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.447905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:18.992604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:19.522544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:14:20.164339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:14:29.294376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetype
id1.0000.3220.1040.211-0.2760.363
id_embedded0.3221.000-0.739-0.254-0.2850.357
season0.104-0.7391.0000.2780.2470.000
number0.211-0.2540.2781.000-0.2821.000
runtime-0.276-0.2850.247-0.2821.0000.268
type0.3630.3570.0001.0000.2681.000

Missing values

2023-08-05T14:14:20.916530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:14:21.189134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:14:21.362683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0241744746433https://www.tvmaze.com/episodes/2417447/vampiry-srednej-polosy-2x01-seria-1Серия 121.0regular2022-12-132022-12-13T00:00:00+00:0061.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087037.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1087037.jpghttps://api.tvmaze.com/episodes/2417447https://api.tvmaze.com/shows/46433None
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2243812059201https://www.tvmaze.com/episodes/2438120/restoran-po-ponatiam-2x11-seria-21Серия 21211.0regular2022-12-132022-12-13T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438120https://api.tvmaze.com/shows/59201None
3243812159201https://www.tvmaze.com/episodes/2438121/restoran-po-ponatiam-2x12-seria-22Серия 22212.0regular2022-12-132022-12-13T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438121https://api.tvmaze.com/shows/59201None
4242051964809https://www.tvmaze.com/episodes/2420519/aksentev-1x08-seria-8Серия 818.0regular2022-12-132022-12-13T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2420519https://api.tvmaze.com/shows/64809None
5244009465481https://www.tvmaze.com/episodes/2440094/a-slezu-za-toboj-1x05-seria-5Серия 515.0regular2022-12-132022-12-13T00:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2440094https://api.tvmaze.com/shows/65481None
6241732254033https://www.tvmaze.com/episodes/2417322/wu-shen-zhu-zai-1x290-episode-290Episode 2901290.0regular2022-12-1310:002022-12-13T02:00:00+00:005.0NoneNoneNonehttps://api.tvmaze.com/episodes/2417322https://api.tvmaze.com/shows/54033None
7243745355087https://www.tvmaze.com/episodes/2437453/wan-jie-du-zun-2x36-episode-86Episode 86236.0regular2022-12-1310:002022-12-13T02:00:00+00:008.0NoneNoneNonehttps://api.tvmaze.com/episodes/2437453https://api.tvmaze.com/shows/55087None
8244740162909https://www.tvmaze.com/episodes/2447401/wo-kao-chongzhi-dang-wudi-1x55-no55№55155.0regular2022-12-1310:002022-12-13T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2447401https://api.tvmaze.com/shows/62909None
9240424363490https://www.tvmaze.com/episodes/2404243/zhu-xian-1x21-episode-21Episode 21121.0regular2022-12-1310:002022-12-13T02:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2404243https://api.tvmaze.com/shows/63490None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
129244097159878https://www.tvmaze.com/episodes/2440971/are-you-the-one-4x03-folge-3Folge 343.0regular2022-12-1300:002022-12-13T23:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2440971https://api.tvmaze.com/shows/59878None
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132244483839145https://www.tvmaze.com/episodes/2444838/de-ferias-com-o-ex-brasil-s09-special-no-estudio-com-o-ex-caribe-s02e09No Estúdio com o Ex Caribe S02E099NaNinsignificant_special2022-12-1322:002022-12-14T00:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2444838https://api.tvmaze.com/shows/39145None
133244447043745https://www.tvmaze.com/episodes/2444470/acapulco-shore-10x12-la-ultima-fiestaLa última fiesta1012.0regular2022-12-1322:002022-12-14T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2444470https://api.tvmaze.com/shows/43745None
134250311667428https://www.tvmaze.com/episodes/2503116/adventuring-academy-4x05-the-new-mr-peanut-with-lou-wilsonThe New Mr. Peanut (with Lou Wilson)45.0regular2022-12-1319:002022-12-14T00:00:00+00:00101.0NoneNoneNonehttps://api.tvmaze.com/episodes/2503116https://api.tvmaze.com/shows/67428None
13523671212266https://www.tvmaze.com/episodes/2367121/wwe-nxt-16x50-main-event-mandy-rose-c-vs-roxanne-perez-for-the-nxt-womens-championshipMain Event: Mandy Rose (c) vs. Roxanne Perez for the NXT Women's Championship1650.0regular2022-12-1320:002022-12-14T01:00:00+00:00126.0NoneNoneNonehttps://api.tvmaze.com/episodes/2367121https://api.tvmaze.com/shows/2266None
136228656219499https://www.tvmaze.com/episodes/2286562/mystery-science-theater-3000-s13-special-a-tribute-to-santa-claus-conquers-the-martiansA Tribute to Santa Claus Conquers the Martians13NaNsignificant_special2022-12-1320:002022-12-14T01:00:00+00:00120.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085129.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1085129.jpghttps://api.tvmaze.com/episodes/2286562https://api.tvmaze.com/shows/19499<p>Ride along with Joel and the bots as they watch a kidnapped Santa Claus teach humorless aliens about the true meaning of Christmas, in <i>Santa Claus Conquers the Martians</i>.</p><p>But first, we'll be premiering a brand new short riff, <i>Bicycling Visual Skills.</i></p><p>Finally, stick around after the episode for a special holiday post-show event, <i>The MST3K 2022 Yule Log: Memories Roasting on an Open Fire.</i></p>
137248195523972https://www.tvmaze.com/episodes/2481955/maine-cabin-masters-8x06-new-cabin-in-tree-two-oneNew Cabin in Tree, Two, One86.0regular2022-12-1321:002022-12-14T02:00:00+00:0060.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/444/1111354.jpghttps://static.tvmaze.com/uploads/images/original_untouched/444/1111354.jpghttps://api.tvmaze.com/episodes/2481955https://api.tvmaze.com/shows/23972<p>Shelly Wheeler grew up splashing around in the bright blue water of China Lake. Now, with a growing family of her own, and her relatives dotting the shores in their perfect summer cabins, Shelly and her husband Travis want to be able to host family functions at their own camp. The only problem: their camp is too small; so small, their daughter hits her head when she stands up in her room. With a growing list of issues and three growing kids, the Wheelers reach out to the Cabin Masters to help them renovate and resize their lakeside home. There's just one thing standing in their way: one of the largest trees in Maine - it needs to come down without breaking the camp or the budget.</p>
138245574854476https://www.tvmaze.com/episodes/2455748/alle-elsker-david-3x14-alle-tror-de-vetAlle tror de vet314.0regular2022-12-1303:002022-12-14T02:00:00+00:0022.0NoneNoneNonehttps://api.tvmaze.com/episodes/2455748https://api.tvmaze.com/shows/54476None